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    Environmental DNA (eDNA) metabarcoding for detecting arthropod pollinators, pests and parasites of a horticultural species

    Kestel JH 2023 Public.pdf (9.229Mb)
    Access Status
    Open access
    Authors
    Kestel, Joshua Harry
    Date
    2023
    Supervisor
    Paul Nevill
    Nicole White
    Bill Bateman
    Type
    Thesis
    Award
    PhD
    
    Metadata
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    Faculty
    Science and Engineering
    School
    School of Molecular and Life Sciences
    URI
    http://hdl.handle.net/20.500.11937/95042
    Collection
    • Curtin Theses
    Abstract

    Global food production is increasingly threatened as the ecological services that underpin crop yields are affected by an array of biotic and abiotic stressors. Beneficial (e.g. pollinators and predators) and antagonistic arthropods (e.g. pests and pathogens) are an important biotic component of agroecosystems. This thesis explores environmental DNA (eDNA) metabarcoding, as a survey tool to detect ecologically significant arthropods and the resources upon which they rely in agroecosystems.

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